Aloe Up — Amazon Growth Case Study
90 days to 2.2×
Case Study

Aloe Up

Scaling Revenue & Profit in a Competitive Skincare Category

Amazon Health & Beauty Efficiency

A sun-and-skincare brand needed to grow revenue and profit together in one of Amazon's most saturated categories — without trading margin for visibility, and without a single quarter of coasting.

+124.5%

Revenue Growth

+107.9%

Net Profit

+160.3%

Orders

From $32.6K to $73.2K in 90 Days

Between November 2025 and February 2026, Aloe Up didn't just grow — it transformed. Every core metric more than doubled, and the story behind the numbers reveals a structural shift in how the brand operates on Amazon.

This growth was not incremental. It was structural — driven by a deliberate rebuild of targeting, listings, and conversion systems.

Services Amazon Ads Listing Optimization PPC Architecture
Aloe Up sunscreen tube in tropical leaves

$32.6K

Nov revenue

$73.2K

Feb revenue

1,583 → 4,120

Units Nov → Feb

$7.0K → $14.6K

Net profit, nearly doubled
Aloe Up Sport sunscreen held at sunset
Aloe Up mineral sunscreen spray

A Category That Doesn't Give Ground Easily

Aloe Up competes in one of Amazon's most saturated health and beauty verticals — a space dominated by heritage brands with massive ad budgets and deeply entrenched keyword rankings. Winning here requires more than a quality product.

Sunscreen

High-intent, high-competition — dominated by household name brands.

Tanning Products

Seasonal spikes demand precise timing and aggressive ad pacing.

After-Sun Care

Niche but growing — conversion-sensitive and review-dependent.

Moisturizers

Crowded, repeat-purchase driven — loyalty is the long game.

The core challenge: compete on visibility AND conversion simultaneously — without overpaying for traffic that wouldn't stick.

Paying for Traffic That Wasn't Converting

The account had grown organically but without architectural discipline. Campaigns overlapped, listings weren't structured for conversion, and ad spend was generating traffic — but not efficiently translating it into revenue or profit.

Every dollar spent on advertising was working harder than it needed to and returning less than it should.
What was happening before
  • Limited organic and paid visibility on key search terms
  • Overlapping PPC campaigns bidding against themselves
  • Traffic flowing to under-optimized product listings
  • Inefficient spend with poor return on ad investment
Key insight

The problem wasn't the product or the category. It was the system driving traffic and converting it.

We Rebuilt the System From the Ground Up

Rather than applying incremental fixes, the team undertook a full structural rebuild. Every lever — from listing copy to campaign architecture — was re-engineered with a single focus: better traffic, better conversion.

Rewrote titles, bullets, and A+ content using high-intent keyword research and conversion-first structure. Every element designed to earn the click AND close the sale.

Separated campaigns by product, match type, and intent signal — eliminating overlapping keywords that were diluting bids and inflating ACoS.

Deployed targeted promotions at strategic intervals to boost order velocity, improving BSR ranking and triggering algorithmic momentum.

Continuously tested imagery, pricing anchors, and review positioning to compound conversion improvements over time.

December & January: Intentional Investment, Not Inefficiency

Before the efficiency flywheel could spin, the system needed fuel. December and January saw a significant increase in ad spend — and a temporary compression of profit margins. This was not a misstep. It was the plan.

Net Profit ($K) Ad Spend ($K)
7
6.1
Nov
4.5
11.2
Dec
6.9
15.6
Jan
14.6
15.5
Feb

December ad spend hit $11.2K with profit at $4.5K. January pushed spend to $15.6K while profit recovered to $6.9K. The investment was building ranking authority, review velocity, and conversion infrastructure — all of which paid out in February.

February: Same Spend. Dramatically Higher Profit.

This is the moment the efficiency flywheel engaged. Ad spend held flat while revenue and profit surged. This is where efficiency kicks in.

February Sales
$32.6K$73.2K

More than double the November baseline.

Ad Spend (flat vs. Jan)
$15.6K$15.5K

No increase in spend — same budget deployed.

Net Profit
$6.9K$14.6K

A 2× increase over January on flat spend.

Orders
1,5834,120

+160.3% total units ordered, Nov → Feb.

Launch Baseline vs. First-Quarter Result

November
February
$32.6K
Monthly revenue
$73.2K
Monthly revenue
Drag to compare · +124.5% in four months

What Actually Drove the Growth

Revenue doesn't double by accident. Four specific changes unlocked the result, and each one compounded the others.

Higher Quality Traffic

Intent-based keyword targeting replaced broad, wasteful match types. Every click arrived with stronger purchase intent, reducing wasted spend and improving conversion from the very first touchpoint.

Stronger Listing Conversion

Optimized titles, bullets, and imagery turned more browsers into buyers. Listings were rebuilt to match shopper language, address objections, and drive action — not just describe the product.

Reduced PPC Overlap

Eliminating internal keyword cannibalization meant bids went further. Campaigns stopped competing against themselves, lowering effective CPC and improving overall return on ad spend.

Promotions Driving Repeat Behavior

Strategically timed promotions built purchase velocity and encouraged repeat buying — improving BSR, boosting organic rank, and reducing reliance on paid traffic over time.

Key Insight

Traffic alone didn't drive growth. Conversion unlocked it.

From Spend-Heavy to Efficiency-Driven

The most important transformation wasn't in the numbers — it was in the operating model. Aloe Up moved from a reactive, traffic-led approach to a structured, intent-based system designed to get more from every dollar spent.

The shift from spend-heavy to efficiency-driven is not a tactical tweak. It is a strategic reset.

Before

  • Traffic-driven strategy — more spend meant more hope
  • Inefficient campaigns with overlapping keywords
  • Listings not built to convert
  • Profit margin squeezed by rising ACoS

After

  • Structured PPC architecture by product and intent
  • Intent-based targeting reducing wasted impressions
  • Conversion-optimized listings closing more sales
  • Profit scaling faster than ad spend

Aloe Up Didn't Just Grow. It Became More Efficient While Scaling.

Sales Doubled$32.6K → $73.2K in four months
Profit Doubled$7.0K → $14.6K on flat February spend
Efficiency ImprovedMore revenue and profit from the same ad investment

Most Amazon growth stories involve trading profit for revenue. Aloe Up's story is different: revenue doubled, profit doubled, and the system became structurally stronger. That is the outcome of building for efficiency, not just volume.

Woman smiling at the beach with sunscreen
Growing Smarter

Ad spend held flat while profit doubled — proof that efficiency and scale can move together.

Growth Is Not About More Traffic

It's about making your traffic convert.

Every brand on Amazon can buy more clicks. The brands that win are the ones who have built the systems — the listings, the targeting, the conversion architecture — to turn those clicks into customers, and those customers into profit. Aloe Up is proof that structural optimization outperforms raw spend every time. The question for your brand is: are you optimized to scale, or just spending to stay visible?

Listing Optimization

Copy and imagery built for conversion.

PPC Architecture

Segmented, intent-based, efficient.

Velocity Strategy

Promotions that compound over time.

Continuous Optimization

Systems that improve as they scale.

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